ebf01ec3c1
### What changes were proposed in this pull request? https://github.com/apache/spark/pull/32015 added a way to run benchmarks much more easily in the same GitHub Actions build. This PR updates the benchmark results by using the way. **NOTE** that looks like GitHub Actions use four types of CPU given my observations: - Intel(R) Xeon(R) Platinum 8171M CPU 2.60GHz - Intel(R) Xeon(R) CPU E5-2673 v4 2.30GHz - Intel(R) Xeon(R) CPU E5-2673 v3 2.40GHz - Intel(R) Xeon(R) Platinum 8272CL CPU 2.60GHz Given my quick research, seems like they perform roughly similarly:  I couldn't find enough information about Intel(R) Xeon(R) Platinum 8272CL CPU 2.60GHz but the performance seems roughly similar given the numbers. So shouldn't be a big deal especially given that this way is much easier, encourages contributors to run more and guarantee the same number of cores and same memory with the same softwares. ### Why are the changes needed? To have a base line of the benchmarks accordingly. ### Does this PR introduce _any_ user-facing change? No, dev-only. ### How was this patch tested? It was generated from: - [Run benchmarks: * (JDK 11)](https://github.com/HyukjinKwon/spark/actions/runs/713575465) - [Run benchmarks: * (JDK 8)](https://github.com/HyukjinKwon/spark/actions/runs/713154337) Closes #32044 from HyukjinKwon/SPARK-34950. Authored-by: HyukjinKwon <gurwls223@apache.org> Signed-off-by: Max Gekk <max.gekk@gmail.com>
41 lines
4.3 KiB
Plaintext
41 lines
4.3 KiB
Plaintext
OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz
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cast strings to intervals: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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------------------------------------------------------------------------------------------------------------------------
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prepare string w/ interval 643 653 11 1.6 643.0 1.0X
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prepare string w/o interval 625 654 44 1.6 624.7 1.0X
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1 units w/ interval 542 559 15 1.8 541.6 1.2X
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1 units w/o interval 474 491 15 2.1 474.0 1.4X
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2 units w/ interval 779 788 9 1.3 778.9 0.8X
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2 units w/o interval 714 733 17 1.4 713.7 0.9X
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3 units w/ interval 1689 1718 44 0.6 1688.9 0.4X
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3 units w/o interval 1717 1741 23 0.6 1716.9 0.4X
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4 units w/ interval 2130 2166 45 0.5 2130.3 0.3X
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4 units w/o interval 2047 2061 23 0.5 2046.7 0.3X
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5 units w/ interval 2296 2310 18 0.4 2295.8 0.3X
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5 units w/o interval 2250 2288 33 0.4 2250.0 0.3X
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6 units w/ interval 2573 2588 24 0.4 2572.6 0.2X
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6 units w/o interval 2491 2517 33 0.4 2491.3 0.3X
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7 units w/ interval 3087 3127 67 0.3 3086.9 0.2X
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7 units w/o interval 3104 3150 46 0.3 3103.6 0.2X
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8 units w/ interval 3281 3319 46 0.3 3281.1 0.2X
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8 units w/o interval 3369 3442 71 0.3 3368.7 0.2X
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9 units w/ interval 3436 3472 31 0.3 3436.3 0.2X
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9 units w/o interval 3471 3511 39 0.3 3471.3 0.2X
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10 units w/ interval 4040 4084 69 0.2 4040.1 0.2X
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10 units w/o interval 4145 4170 22 0.2 4145.2 0.2X
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11 units w/ interval 4345 4432 78 0.2 4345.0 0.1X
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11 units w/o interval 4425 4465 68 0.2 4424.5 0.1X
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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz
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make_interval(): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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prepare make_interval() 3911 3961 44 0.3 3910.6 1.0X
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make_interval(0, 1, 2, 3, 4, 5, 50.123456) 66 66 0 15.2 65.8 59.4X
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make_interval(*, *, 2, 3, 4, 5, 50.123456) 95 99 5 10.5 95.2 41.1X
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make_interval(0, 1, *, *, 4, 5, 50.123456) 110 112 2 9.1 110.2 35.5X
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make_interval(0, 1, 2, 3, *, *, *) 4004 4050 42 0.2 4003.6 1.0X
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make_interval(*, *, *, *, *, *, *) 3942 3957 13 0.3 3942.4 1.0X
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